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Indoor intrusion detection systems are widely implemented in many special departments and environments. Owing to the special target market, several specific features of such systems are required including high accuracy, high performance, high concealment and ease of deployment. In this study, the authors proposed an infrared light spot displacement‐based surveillance system for indoor intrusion detection. This system, named BriGuard, shares a similar idea with radar. A 940 nm infrared light beam goes through an optical diffraction grating to generate light spot matrix imagery in the view of a complementary metal oxide semiconductor image sensor. The coordinates of the light spots are extracted and recorded. When someone enters the monitored area, the imaging plane changes and leads to a variation of the pre‐recorded light spots coordinates. The light beam is modulated in order to be distinguished from the light in the environment. The lightweight algorithms require little computation power and data storage. BriGuard achieves a nearly zero false detection rate while covering a distance up to 10 m. It can process 30 full HD (1920 × 1080) frames per second. More importantly, because of unnoticeable infrared lights and very small form factor, the whole detection equipment is very hard to observe. [ABSTRACT FROM AUTHOR]

The major bottleneck of coarse-grained reconfigurable arrays (CGRAs) is the excessive configuration overhead; as a result, computing potential cannot be fully utilized. At run-time, the function of CGRAs can be fully and dynamically reconfigured by changing contexts. Therefore, the frequency of context switching on CGRAs is very high. On the other hand, the configuration time of CGRAs is very long. This paper proposes three configuration approaches to reduce interval latency when switching configuration contexts. These proposed approaches include input data relocation (IDR), line-based context switching (LCS), and loop interval minimization (LIM). IDR relocates input data to the first stage of the pipeline; as a result, the delay time for the input data of the next data flow graph (DFG) is reduced. LCS is a LCS mechanism for adjacent independent DFGs to reduce the interval of context switching, thereby expanding the depth of the pipeline. LIM is used to minimize the interval of loops. Simulations on a coarse-grained reconfigurable processor called reconfigurable multimedia system (REMUS) show that 1080 p@30 fps for H.264 high profile video decoding can be achieved under 200 MHz working frequency. As for AVS and MPEG2 decoding algorithms, much higher performance, i.e., 1080 p@39 fps and 1080 p@41 fps, can be achieved respectively. [ABSTRACT FROM AUTHOR]

Robust single-crystalline Ni-rich cathodes with increasing Ni proportion, LiNi 0.83 Co 0.11 Mn 0.06 O 2 (SC83), LiNi 0.88 Co 0.06 Mn 0.06 O 2 (SC88), and LiNi 0.95 Co 0.03 Mn 0.02 O 2 (SC95) were successfully designed with molten salt-assisted method, and the correlation between the Li+ storage properties, particle microcracking, surface phase transitions, and Ni fraction in the single-crystalline Ni-rich cathodes have been profoundly investigated. [Display omitted] • -crystalline Ni-rich cathodes with increasing Ni proportion were designed with molten salt-assisted method. • The single-crystalline LiNi 0.83 Co 0.11 Mn 0.06 O 2 cathode presents superior structural stability and cycling durability. • Performance degradations were attributed to the aggravated Li/Ni mixing and H2 ↔ H3 phase transition. • It provides approach for designing high-energy density and stable single-crystalline Ni-rich cathodes. Further commercial development of polycrystalline Ni-rich layered cathode is severely hindered by the deep-rooted particle microcracking, mainly initiated among the randomly orientated grain boundaries of the primary particles. Herein, robust single-crystalline Ni-rich LiNi 0.83 Co 0.11 Mn 0.06 O 2 (SC83) prepared by molten salt-assisted method shows the enhanced structure stability and cycling durability. It's found that the particle microcracking is effectively removed for SC83 cathode during prolonged cycling helped with its eliminated grain boundaries and slight crystal shrinkage, leading to superior capacity retention of 92.8% after 100 cycles. Notably, the discharge capacity and energy density are effectively boosted with increasing Ni fraction majorly based on the more available Ni2+/Ni3+ redox, giving rise to high capacities of 211.2 and 219.4 mAh g−1 for LiNi 0.88 Co 0.06 Mn 0.06 O 2 (SC88) and LiNi 0.95 Co 0.03 Mn 0.02 O 2 (SC95) cathodes, respectively. However, the particle microcracking is progressively exacerbated owing to the aggravated Li/Ni mixing and H2 ↔ H3 phase transition with Ni proportion higher than or equal to 88% in SC cathodes, resulting in severe structure collapse and capacity fading during high-rate cycling, in which a poor capacity retention of 51.8% after 250 cycles at 5C is observed for single-crystalline SC95cathode. This work sheds light on the rational design of single-crystalline Ni-rich cathodes, and highlighted the trade-off between the energy density and cycling durability, facilitating the extensive applications of single-crystalline Ni-rich cathodes in high-performance electric vehicles (EVs). [ABSTRACT FROM AUTHOR]

P2–Na 2/3 Ni 1/3 Mn 2/3 O 2 as a promising cathode material for sodium ion batteries (SIBs) has attracted much attention owing to high capacity and wide operation voltage. However, it suffers from inferior rate and cycling performances due to P2–O2 phase transition and Na+/vacancy ordering during charge/discharge process. Herein, a Fe/Ti co-substitution strategy is successfully utilized to mitigate these issues. Notably, as probed by In-situ X-ray diffraction, the substitution of Ni with Fe significantly stabilizes the interlayer framework by impeding slab glide during deep Na+ extraction, resulting in reversible P2-OP4 phase transition with smaller volume change of host structure compared to P2–O2 transition. Meanwhile, synchrotron X-ray diffraction shows that, the Na+/vacancy ordering is greatly suppressed by further replacing Mn with Ti, which breaks down the long-range ordering of Ni/Mn distribution, promoting Na ion transport. In addition, the charge compensation mechanism of Fe/Ti co-substituted P2–Na 0.67 Ni 0.23 Fe 0.1 Mn 0.57 Ti 0.1 O 2 (NFMT) revealed by Ex-situ X-ray absorption spectroscopy demonstrates that the incorporation of Fe3+/4+ redox couple largely improve the working voltage. Consequently, the obtained NFMT cathode delivers a high energy density over 420 Wh/kg within 4.3–2.6 V, accompanied with remarkably enhanced kinetics and capacity retention. Such co-substitution strategy provides a promising approach to develop high-voltage and cycle-stable cathode materials for SIBs. [Display omitted] • Fe/Ti co-substitution is proposed to modify the P2–Na 2/3 Ni 1/3 Mn 2/3 O 2 cathode. • Fe substitution can prevent the P2–O2 phase transition. • Ti substitution disrupts cation ordering and Na+/vacancy ordering. • Fe/Ti co-substitution can stabilize the reversible OP4 phase. [ABSTRACT FROM AUTHOR]

An electrochemical collision method focusing on individual particles is applied to investigate the LiNi 0.8 Mn 0.1 Co 0.1 O 2 for direct and accurate information about the ions migration process. For the first time, two types of unique current signals including trapezoid-like signals and wider-wave signals are observed with the increase of particle sizes, except for the acquainted spike-like signals with a sharp rise and a slow decay. The trapezoid-like signals started with a slow rise following by a steady platform and a slow decay, revealing an out-of-sync reaction at the beginning and a subsequent interface traversing and internal ion diffusion jointly controlled ions migration process in the particle. The wider-wave signals with a slower rise and a much slower decay are acquired from particles with the largest size, showing the slowest kinetics during the whole reaction process in the particle. [Display omitted] • The de-insertion process of Li+ in single LiNi 0.8 Mn 0.1 Co 0.1 O 2 is studied. • Ion diffusion process changes with particle size. • Current signals with specific feature is found for the first time. • Ion diffusion inside the particle/cross the interface determine the rate capability. [ABSTRACT FROM AUTHOR]

The impacts of Cu substitution upon the cycling stability of Na x MO 2 (M = Fe, Mn) cathodes are systematically studied. Evidenced by CuO segregation and XPS analysis, the average valence of Mn can hardly reach +4, possibly owing to the production of Mn(II). It is proposed that, Cu substitution can efficiently enhance the cycling stability by reducing the content of Mn(III) and suppressing the electrochemical activities of Mn4+/3+ redox couple. • Cycling stability of Na x MO 2 (M = Cu, Fe, Mn) cathodes are systematically studied. • CuO segregation is evidenced to be associated with the limited valent state of Mn. • Adding Cu2+ actually lower Mn valence by decreasing Mn(III) and generating Mn(II). • Cu2+-substitution may enhance the cycling stability mainly by suppressing Mn(III). Adding Cu2+ has substantially boosted the practical potentiality of Fe/Mn-based layered cathodes for sodium ion batteries (SIBs) owing to the enhanced stabilities, which were previously ascribed to the raised valence of Mn. Herein, the roles of Cu2+ are verified by investigating Cu2+-substituted materials with the stoichiometry of Na 0.5+x Cu x Fe 0.5-x Mn(IV) 0.5 O 2. Surprisingly, it is found that Mn valence can hardly reach the expected value (IV) even by adjusting Cu2+ content. For the first time, the separation of CuO, which has been previously detected but rarely explained, is ascribed to the restrained chemical states of Mn. Detailed analyses show that, Mn(II) is generated while Mn(III) is decreased in pace of Cu2+ substitution, actually lowering down the oxidation states of Mn. Moreover, Mn4+/3+ redox can be efficiently restricted by importing Cu2+. Albeit the loss of capacity, the cycling stability is greatly enhanced, achieving a high capacity retention of 92.3% after 200 cycles within 4.2–2.5 V. Therefore, the suppression of Jahn-Teller Mn(III) should be intrinsically responsible for the superior cycling stability after Cu2+ substitution. These findings may present a new sight to probe the roles of Cu in layered Na x MO 2 system for the design of advanced cathodes for SIBs. [ABSTRACT FROM AUTHOR]

The sodium-ion battery (SIB) has attracted ever growing attention as a promising alternative of the lithium-ion battery (LIB). Constructing appropriate anode materials is critical for speeding up the application of SIB. This review aims at guiding anode design from the material's perspective, and specifically focusing on solid solution metal chalcogenide anode. The sodium ion storage mechanisms of a solid solution metal chalcogenide anode is overviewed on basis of the elements it is composed of, and discusses how the solid solution character alters the electrochemical performances through diffusion and surface-controlled processes. In addition, by classifying solid solution metal chalcogenide as cation and anion, their recent applications are updated, and understanding the roles of guest elements in improving the electrochemical behaviors of a solid solution metal chalcogenide is carried out. After that, discussion of possible strategies to further optimize these anode materials in the future, flowing from crystal structure design to morphology control and finally to the intimacy improvement between conductive matrix and solid solution metal chalcogenide are also provided., (© 2021 Wiley-VCH GmbH.)

The practical application of lithium-ion batteries suffers from low energy density and the struggle to satisfy the ever-growing requirements of the energy-storage Internet. Therefore, developing next-generation electrode materials with high energy density is of the utmost significance. There are high expectations with respect to the development of lattice oxygen redox (LOR)-a promising strategy for developing cathode materials as it renders nearly a doubling of the specific capacity. However, challenges have been put forward toward the deep-seated origins of the LOR reaction and if its whole potential could be effectively realized in practical application. In the following Review, the intrinsic science that induces the LOR activity and crystal structure evolution are extensively discussed. Moreover, a variety of characterization techniques for investigating these behaviors are presented. Furthermore, we have highlighted the practical restrictions and outlined the probable approaches of Li-based layered oxide cathodes for improving such materials to meet the practical applications.

This paper proposes a real-time feature extraction VLSI architecture for high-resolution images based on the accelerated KAZE algorithm. Firstly, a new system architecture is proposed. It increases the system throughput, provides flexibility in image resolution, and offers trade-offs between speed and scaling robustness. The architecture consists of a two-dimensional pipeline array that fully utilizes computational similarities in octaves. Secondly, a substructure (block-serial discrete-time cellular neural network) that can realize a nonlinear filter is proposed. This structure decreases the memory demand through the removal of data dependency. Thirdly, a hardware-friendly descriptor is introduced in order to overcome the hardware design bottleneck through the polar sample pattern; a simplified method to realize rotation invariance is also presented. Finally, the proposed architecture is designed in TSMC 65 nm CMOS technology. The experimental results show a performance of 127 fps in full HD resolution at 200 MHz frequency. The peak performance reaches 181 GOPS and the throughput is double the speed of other state-of-the-art architectures.

It is important to reduce the time cost of video compression for image sensors in video sensor network. Motion estimation (ME) is the most time-consuming part in video compression. Previous work on ME exploited intra-frame data reuse in a reference frame to improve the time efficiency but neglected inter-frame data reuse. We propose a novel inter-frame data reuse scheme which can exploit both intra-frame and inter-frame data reuse for ME in video compression (VC-ME). Pixels of reconstructed frames are kept on-chip until they are used by the next current frame to avoid off-chip memory access. On-chip buffers with smart schedules of data access are designed to perform the new data reuse scheme. Three levels of the proposed inter-frame data reuse scheme are presented and analyzed. They give different choices with tradeoff between off-chip bandwidth requirement and on-chip memory size. All three levels have better data reuse efficiency than their intra-frame counterparts, so off-chip memory traffic is reduced effectively. Comparing the new inter-frame data reuse scheme with the traditional intra-frame data reuse scheme, the memory traffic can be reduced by 50% for VC-ME.

In this paper, we propose a novel 2D-to-3D video conversion method for 3D entertainment applications. 3D entertainment is getting more and more popular and can be found in many contexts, such as TV and home gaming equipment. 3D image sensors are a new method to produce stereoscopic video content conveniently and at a low cost, and can thus meet the urgent demand for 3D videos in the 3D entertaiment market. Generally, 2D image sensor and 2D-to-3D conversion chip can compose a 3D image sensor. Our study presents a novel 2D-to-3D video conversion algorithm which can be adopted in a 3D image sensor. In our algorithm, a depth map is generated by combining global depth gradient and local depth refinement for each frame of 2D video input. Global depth gradient is computed according to image type while local depth refinement is related to color information. As input 2D video content consists of a number of video shots, the proposed algorithm reuses the global depth gradient of frames within the same video shot to generate time-coherent depth maps. The experimental results prove that this novel method can adapt to different image types, reduce computational complexity and improve the temporal smoothness of generated 3D video.

Robust and fast traffic sign recognition is very important but difficult for safe driving assistance systems. This study addresses fast and robust traffic sign recognition to enhance driving safety. The proposed method includes three stages. First, a typical Hough transformation is adopted to implement coarse-grained location of the candidate regions of traffic signs. Second, a RIBP (Rotation Invariant Binary Pattern) based feature in the affine and Gaussian space is proposed to reduce the time of traffic sign detection and achieve robust traffic sign detection in terms of scale, rotation, and illumination. Third, the techniques of ANN (Artificial Neutral Network) based feature dimension reduction and classification are designed to reduce the traffic sign recognition time. Compared with the current work, the experimental results in the public datasets show that this work achieves robustness in traffic sign recognition with comparable recognition accuracy and faster processing speed, including training speed and recognition speed.

In this paper, we propose a multi-modal 2D + 3D face recognition method for a smart city application based on a Wireless Sensor Network (WSN) and various kinds of sensors. Depth maps are exploited for the 3D face representation. As for feature extraction, we propose a new feature called Complete Local Derivative Pattern (CLDP). It adopts the idea of layering and has four layers. In the whole system, we apply CLDP separately on Gabor features extracted from a 2D image and depth map. Then, we obtain two features: CLDP-Gabor and CLDP-Depth. The two features weighted by the corresponding coefficients are combined together in the decision level to compute the total classification distance. At last, the probe face is assigned the identity with the smallest classification distance. Extensive experiments are conducted on three different databases. The results demonstrate the robustness and superiority of the new approach. The experimental results also prove that the proposed multi-modal 2D + 3D method is superior to other multi-modal ones and CLDP performs better than other Local Binary Pattern (LBP) based features.